Micro-Star International Co., Ltd. MS-7D69
Geekbench ML Score
5482
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 12:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2186
409.1 IPS |
|
|
Image Classification (F16)
|
100% |
2190
409.7 IPS |
|
|
Image Classification (I8)
|
99% |
5592
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2330
38.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2325
38.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3058
51.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
18510
22.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18573
22.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
55091
66.7 IPS |
|
|
Object Detection (F32)
|
100% |
2420
180.7 IPS |
|
|
Object Detection (F16)
|
100% |
2396
178.9 IPS |
|
|
Object Detection (I8)
|
62% |
2601
194.1 IPS |
|
|
Face Detection (F32)
|
100% |
4144
49.3 IPS |
|
|
Face Detection (F16)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (I8)
|
89% |
6179
73.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11067
85.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10984
85.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
25199
195.4 IPS |
|
|
Style Transfer (F32)
|
100% |
30139
39.6 IPS |
|
|
Style Transfer (F16)
|
100% |
29335
38.6 IPS |
|
|
Style Transfer (I8)
|
98% |
41677
54.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4066
145.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4610
164.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6102
217.9 IPS |
|
|
Text Classification (F32)
|
100% |
1936
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1740
2.50 KIPS |
|
|
Text Classification (I8)
|
98% |
497
714.1 IPS |
|
|
Machine Translation (F32)
|
100% |
3443
63.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3498
64.4 IPS |
|
|
Machine Translation (I8)
|
67% |
4208
77.4 IPS |
